Investigation of vegetation changes using Soil Moisture Index in Gavkhouni wetland
Authors
Abstract:
Gavkhouni wetland located in the center of Iranchr('39')s Plateau is one of the important habitat for native flora and fauna. The present study aimed to evaluate change trend of vegetation types and Soil Moisture Index in Gavkhouni wetland since recent 16 years. Vegetation types were identified via field visitation during 2011-2017 and the maps were generated in ArcGIS 10.5. SMI is derived using a triangle space concept between the land surface temperature and normalized difference vegetation index from MODIS satellite data during 1380 to 1396. 24 vegetation types were identified in the study area. The highest area of the whole study area was allocated to vegetation type named Salsola tomentosa-Artemisia sieberi (89630 ha). Two vegetation types including Astragalus squarosus- Stipagrostis plumosa and Astragalus squarosus covered the lowest area (158 and 296 ha)in 1390 and 1396 respectively. The results showed that major changes in vegetation types occurred from 1390 including deletion of some dominated species such as Phragmites australis and Aeluropus littoralis in the study area which may be attributed to decreasing soil moisture index. The generated maps of SMI indicated that the area with low level of SMI (0-0.2) have increased while the areas with moderate and high levels of SMI (>0.2) have decrease from 2001 to 2017. In order to investigate plant vegetation changes, monitoring of SMI through satellite imagery can serve as an appropriate alternative to direct sampling and field measurement of soil moisture in wetland areas without available soil moisture records. Furthermore, range managers and natural resources and environmental protection authorities can use our findings as basic information in conservation management of endangered plant species and development of restoration and improvement programs.
similar resources
Prediction of Soil Organic Matter by VIS-NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture
Soil organic matter (SOM) is an important parameter of soil fertility, and visible and near-infrared (VIS–NIR) spectroscopy combined with multivariate modeling techniques have provided new possibilities to estimate SOM. However, the spectral signal is strongly influenced by soil moisture (SM) in the field. Interest in using spectral classification to predict soils in the moist conditions to min...
full textVegetation composition and soil microbial community structural changes along a wetland hydrological gradient
Fluctuations in wetland hydrology create an interplay between aerobic and anaerobic conditions, controlling vegetation composition and microbial community structure and activity in wetland soils. In this study, we investigated the vegetation composition and microbial community structural and functional changes along a wetland hydrological gradient. Two different vegetation communities were dist...
full textInfluence of Vegetation Cover on the Oh Soil Moisture Retrieval Model: A Case Study of the Malinda Wetland, Tanzania
Soil moisture is an important parameter that drives agriculture, climate and hydrological systems. In addition, retrieval of soil moisture is important in the analysis as well as its influence on these systems. Radar imagery is best suited for this retrieval due to its all-weather capability and independence from solar irradiation. Soil moisture retrieval was done for the Malinda Wetland, Tanza...
full textDevelopment of an Index-based Regression Model for Soil Moisture Estimation Using MODIS Imageries by Considering Soil Texture Effects
Soil moisture content (SMC) is one of the most significant variables in drought assessment and climate change. Near-real time and accurate monitoring of this quantity by means of remote sensing (RS) is a useful strategy at regional scales. So far, various methods for the SMC estimation using a RS data have been developed. The use of spectral information based on a small range of electromagnetic...
full textA methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index
A methodology for retrieving surface soil moisture and vegetation optical depth from satellite microwave radiometer data is presented. The procedure is tested with historical 6.6 GHz and polarized brightness temperature observations from the scanning multichannel microwave radiometer (SMMR) over several test sites in Illinois. Results using only nighttime data are presented at this time due to ...
full textStudy of Changes in Soil Moisture and Salinity Under PlasticMulch and Drip Irrigation in Pistachio Trees
In this study, changes in soil moisture and salinity contents in drip irrigation combined with white and black plastic mulches compared to no mulch (control) was evaluated. The experiment was carried out in two commercial pistachio orchards (Ohadi cultivar) with irrigation frequencies of 8 to 12 days with a total water consumption 4100 and 6170 m3ha−1. The study was conducted in a complete rand...
full textMy Resources
Journal title
volume 12 issue None
pages 0- 0
publication date 2020-10
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023